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Paper Citation Record · LEDGER

Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data

As of 18 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2506.10332.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.10332 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:35:51.976220Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

  • verified exact10
  • verified fuzzy2
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f256581-a297-4c04-8f0a-2884ce638764 · outbound

This paper cites Air pollution in New Delhi is more severe than observed due to hygroscopicity-induced bias in aerosol sampling.

Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data Air pollution in New Delhi is more severe than observed due to hygroscopicity-induced bias in aerosol sampling

Reference 1

Resolution
verified exact
doi, observed 2026-08-07T04:35:52.126788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation effdb3c5-3a68-4f72-9bd7-804987f28b64 · outbound

This paper cites How is india trying to address air pollution?, 2024.

Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data How is india trying to address air pollution?, 2024

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:53.525107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ca726a82-d4fd-4e34-b271-0f686dd41497 · outbound

This paper cites Validation of Low - Cost Sensors in Measuring Real - Time PM10 Concentrations at Two Sites in Delhi National Capital Region.

Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data Validation of Low - Cost Sensors in Measuring Real - Time PM10 Concentrations at Two Sites in Delhi National Capital Region

Reference 3

Resolution
verified exact
doi, observed 2026-08-07T04:35:52.111638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 62b8ca69-7900-4394-b14f-5f1fdc2fd70e · outbound

This paper cites AirDelhi: Fine-Grained Spatio-Temporal Particulate Matter Dataset from Delhi for ML-Based Modeling.

Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data AirDelhi: Fine-Grained Spatio-Temporal Particulate Matter Dataset from Delhi for ML-Based Modeling

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:35:53.364971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation fd3d8854-407c-4815-bfc1-72f928b33c64 · outbound

This paper cites Predictive modeling of air quality in the Tehran megacity via deep learning techniques.

Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data Predictive modeling of air quality in the Tehran megacity via deep learning techniques

Reference 5

Resolution
verified exact
doi, observed 2026-08-07T04:35:52.095638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:35:51.898777Z digest=sha256:2c408fb625926247185bb5baf3c2de1579ca7abe23317e5ed35c264270ce222f

Observation c6953387-8c37-45d3-85c1-488ca263a0d3 · outbound

This paper cites Pruthi and Y.

Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data Pruthi and Y

Reference 6

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T04:35:52.994332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:35:51.903457Z digest=sha256:2f3ab486b50240278a62650d8e87ba589a691407941c4e62a7b52ccbddbb02ab

Observation ad750ec0-853a-4f4d-9f5a-eb9cec67b163 · outbound

This paper cites Alawi, Haslinda Mohamed Kamar, Ali Alsuwaiyan, and Zaher Mundher Yaseen.

Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data Alawi, Haslinda Mohamed Kamar, Ali Alsuwaiyan, and Zaher Mundher Yaseen

Reference 7

Resolution
verified exact
doi, observed 2026-08-07T04:35:52.078384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:35:51.908731Z digest=sha256:8c7d37c8dec1364ae821da0fa413488a6168bcfb121613f4d817885f0b2e7618

Observation 4c640fef-ea50-4679-9786-a841c878978a · outbound

This paper cites Merayo, and Manuel Núñez.

Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data Merayo, and Manuel Núñez

Reference 8

Resolution
verified exact
doi, observed 2026-08-07T04:35:52.062438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:35:51.913768Z digest=sha256:24134115afb16f49f36446acbc7acd83052cbe304bad01cfd8d32e78530d9c6c

Observation 0e7eb99a-ac36-4f6a-984c-dc2e881be3a9 · outbound

This paper cites Sridhar, M Latha, Khalid Nazim Abdul Sattar, and G Manjula.

Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data Sridhar, M Latha, Khalid Nazim Abdul Sattar, and G Manjula

Reference 9

Resolution
verified exact
raw_fallback, observed 2026-08-07T04:35:52.718811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:35:51.917994Z digest=sha256:4e4822533b8089a758a9a1eef5156464bdd0d229c29222035c3130c3b7e78b67

Observation f1592963-8c31-4dc9-97cd-a7c1b2ffbaaf · outbound

This paper cites AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction.

Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction

Reference 10

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unresolved
no resolver link, observed 2026-08-07T04:35:51.922354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1c627fc8-f75f-4812-9162-55fd30107c4c · outbound

This paper cites Messier, Brian J.

Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data Messier, Brian J

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T04:35:51.927380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:35:51.927380Z digest=sha256:a74e7409473627a6286178b8117183840be2397474fb249733af00e54aaafa74

Observation 7b358b9e-5388-436b-b7b1-3242a01fdeee · outbound

This paper cites ASTGC : Attention -based Spatio -temporal Fusion Graph Convolution Model for Fine -grained Air Quality Analysis.

Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data ASTGC : Attention -based Spatio -temporal Fusion Graph Convolution Model for Fine -grained Air Quality Analysis

Reference 12

Resolution
verified exact
doi, observed 2026-08-07T04:35:52.046615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:35:51.931505Z digest=sha256:39a8df8fc352bd4dd3b6ccecea94f3b85ad282fec7a5cdd385cfe7df951f7082

Observation 783bfcda-28a9-496d-bfed-40b712f3bd36 · outbound

This paper cites Predicting air quality via multimodal AI and satellite imagery.

Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data Predicting air quality via multimodal AI and satellite imagery

Reference 13

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T04:35:52.434540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:35:51.936470Z digest=sha256:60c620e063ebb031ad5ee3072d3cab8f81c55801b5391a45968154e66f972485

Observation 5890da52-9ce3-48f3-9b1a-a7fc815bd66f · outbound

This paper cites Deep-MAPS: Machine Learning based Mobile Air Pollution Sensing.

Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data Deep-MAPS: Machine Learning based Mobile Air Pollution Sensing

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:35:52.342173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:35:51.940890Z digest=sha256:d9f76a000285769796cdc669bdac01bbe8b9fec121cd505538be141604d7e973

Observation ed251ea3-abec-4b4d-9301-496f089485ff · outbound

This paper cites an unresolved cited work.

Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data Unresolved cited work

Reference 15

Resolution
verified exact
doi, observed 2026-08-07T04:35:52.030610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:35:51.945960Z digest=sha256:f8b13d887ada36ea5c76aa5764f7b352ad0a1ce1abe602ababaea5e399598808

Observation 96701604-e1d8-42ad-8238-d073cd90738a · outbound

This paper cites Optimized machine learning model for air quality index prediction in major cities in India.

Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data Optimized machine learning model for air quality index prediction in major cities in India

Reference 16

Resolution
verified exact
doi, observed 2026-08-07T04:35:52.014689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:35:51.950718Z digest=sha256:e6deb375eea64c060f0da3afff6dd73d6f09d0dab02c875bfe3ade08f41ebfa7

Observation 77f6964c-c5ad-4cbc-8deb-6d6335067ab0 · outbound

This paper cites an unresolved cited work.

Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data Unresolved cited work

Reference 17

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unresolved
raw_fallback, observed 2026-08-07T04:35:53.179089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:35:51.955008Z digest=sha256:dcb8bc60845c74cd0f4327a0bf2efc29b782ebd1898536c70946ac4733d04bb8

Observation 78082b10-1ebf-4704-a619-e53ac2d48771 · outbound

This paper cites Pedregosa, G.

Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data Pedregosa, G

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T04:35:51.959335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:35:51.959335Z digest=sha256:ab5cebd6bc3ad08011585ba809d4de008363a646b6dd4d83305929e2701d7d7a

Observation 2a92766e-353d-4006-93a6-4f3776210eeb · outbound

This paper cites XGBoost : A Scalable Tree Boosting System.

Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data XGBoost : A Scalable Tree Boosting System

Reference 19

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unresolved
no resolver link, observed 2026-08-07T04:35:51.963578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:35:51.963578Z digest=sha256:9d8990302176deea72d615611b612e08d8ea51546eff894ee25aeaabfa115b95

Observation 31c969d7-873b-4522-b8b8-70bffe6c0336 · outbound

This paper cites Lightgbm: A highly efficient gradient boosting decision tree.

Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data Lightgbm: A highly efficient gradient boosting decision tree

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T04:35:51.967590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:35:51.967590Z digest=sha256:40015af613cae453c78108550f4476d501a237d8dfb147b3a5474a7600780185

Observation 38c9d364-1317-4871-b6da-6321505554fd · outbound

This paper cites CatBoost: unbiased boosting with categorical features.

Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data CatBoost: unbiased boosting with categorical features

Reference 21

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no resolver link, observed 2026-08-07T04:35:51.971750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:35:51.971750Z digest=sha256:a1f5b6e6690c2fd102e6e4e3a37b39acf94d403c98556c8858afabb347714a5e

Observation 949f13c7-d723-4caf-9228-b502e63cf753 · outbound

This paper cites Graph Attention Networks.

Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data Graph Attention Networks

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T04:35:51.976220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:35:51.976220Z digest=sha256:9afb7b171ce59fe42ee32b735ecb0dfa9a959ce091be0f7a7ce2ba48116af390

Pith citing papers

No inbound Pith citation observations are available.